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Data Science & ML MCP Servers
Discover our curated collection of MCP servers for data science & ml. Browse 15149 servers and find the perfect MCPs for your needs.
Arbor
Builds a comprehensive graph of your codebase, providing deterministic program understanding for AI-assisted code intelligence instead of embedding-based RAG.
151
Context Lattice
Orchestrates local-first memory for AI systems with durable writes, multi-sink fanout, and retrieval learning capabilities.
151
Codebadger
Provides containerized static code analysis across various programming languages by leveraging Joern's Code Property Graph (CPG) technology.
151
Hayhooks
Deploy Haystack pipelines as REST APIs and MCP Tools with ease.
150
Pinecone
Enables reading and writing to a Pinecone index via the Model Context Protocol, facilitating retrieval-augmented generation (RAG).
150
Crawl4AI
Empowers local developers with efficient internet search and content retrieval for Large Language Models, saving tokens.
150
Quick Data
Facilitates agentic data analysis on JSON and CSV files for AI models like Claude Code.
149
Game Asset Generator
Generates 2D and 3D game assets from text prompts using Hugging Face AI models.
149
Turbovault
Elevates your Obsidian vault into an intelligent knowledge system by providing AI agents with specialized tools for managing and analyzing notes.
149
Pubmearch
Analyzes PubMed medical literature to provide researchers with insights into medical research trends.
149
Mnemo Cortex
Empowers AI agents with persistent, local, and cross-agent memory, facilitating deep recall, semantic search, and contextual awareness across sessions.
149
Mcptube
Transforms YouTube videos into AI-queryable resources by extracting metadata, transcripts, and frames for semantic search and analysis.
149
Express REST API Framework
Expedites the creation of production-ready RESTful APIs and MCP servers using Node.js, Express, and various database options.
147
MCP.science
Provides a collection of open-source Model Context Protocol (MCP) servers for integrating AI models with scientific data, tools, and resources.
147
AGI Memory
Implements a sophisticated database design for Artificial General Intelligence (AGI) memory management, featuring multiple storage and retrieval mechanisms inspired by human cognitive architecture.
147
Mazzap
Transforms real-world ground areas into interactive, self-contained 3D georeferenced digital twins viewable in a browser.
146
Multi-Agent Ralph Wiggum
Orchestrates multiple AI models through an 8-step workflow, delivering high-quality, validated code with token optimization and automatic context preservation.
146
BigQuery
Enables Large Language Models to securely query and analyze BigQuery datasets through a standardized Model Context Protocol interface.
146
Matryoshka
Analyzes large documents and codebases token-efficiently using symbolic reasoning and a logic engine, circumventing LLM context window limitations.
146
Connects AI clients to Reddit data, enabling search, subreddit browsing, and user activity scraping to retrieve structured information without authentication.
146
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